Presentation + Paper
1 May 2023 Process optimization for shallow trench isolation etch using computational models
Shuo Huang, Prem Panneerchelvam, Chad M. Huard, Shyam Sridhar, Peter L. G. Ventzek, Mark D. Smith
Author Affiliations +
Abstract
In today’s advanced semiconductor process manufacturing, critical dimensions of device features have decreased to a few nanometers while the aspect ratios have increased beyond 100. The cost of process development has significantly increased and the performance of the lithography and plasma etch patterning processes are critical to the success of ramping a new technology node toward profitable high-volume manufacturing. In this paper, a three-dimensional Monte Carlo-based feature scale model, ProETCH®, has been developed for modeling etch process with the capability of optimizing the process by solving forward and inverse problems. The shallow trench isolation etch process in self-aligned double patterning was investigated. The mechanism of silicon etch by Ar/Cl2 plasma was developed with experimental data as a reference. The developed model captures the trends and has quantitative accuracy in comparison to the experimental data, and can be used to identify the different fundamental pathways which contribute to the profile metrics. The developed model was then used to solve the forward problem, which is to predict profiles at different process conditions, and the inverse problem, which is to search for the process conditions (e.g, power and pressure) which could result in desirable profiles.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuo Huang, Prem Panneerchelvam, Chad M. Huard, Shyam Sridhar, Peter L. G. Ventzek, and Mark D. Smith "Process optimization for shallow trench isolation etch using computational models", Proc. SPIE 12499, Advanced Etch Technology and Process Integration for Nanopatterning XII, 1249905 (1 May 2023); https://doi.org/10.1117/12.2664977
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KEYWORDS
Etching

Plasma

Calibration

Inverse problems

Mathematical optimization

Plasma etching

Silicon

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